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Longitudinal data analysis with non-ignorable missing data
A common problem in the longitudinal data analysis is the missing data problem. Two types of missing patterns are generally considered in statistical literature: monotone and non-monotone missing data. Non-monotone missing data occur when study participants intermittently miss scheduled visits, whil...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3883866/ https://ncbi.nlm.nih.gov/pubmed/22637472 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280212448721 |
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